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You will be updated with latest job alerts via emailAs a Senior Software Engineer II in the Contact Automation team you will play a pivotal role in shaping the future of customer support at Wise. Youll be a key technical leader in an autonomous team driving the vision and end-to-end solutions for the Wise Assistant. This is a high-impact role where youll tackle complex engineering challenges to automate real customer issues significantly improving their experience and our operational efficiency.
How We Work
Agile & Collaborative: We operate in an agile fashion fostering close collaboration between engineers product managers content designers analysts and data scientists.
Cross-Functional Teams: Youll work alongside talented individuals to design build and iterate on solutions that deliver tangible customer value.
International Presence: Our team is distributed across our Budapest New York and London offices offering a diverse and dynamic working environment.
What Youll Be Working On
Lead the design development and deployment of scalable resilient and high-performance components for the Wise Assistant. This includes our core Java microservice consuming Kafka messages as well as contributing to our Python and TypeScript codebases.
Take ownership of our intent detection systems contact processing pipelines and the routing logic that connects customers to various automation types (templates RAG LLM workflows AI agents vendor solutions)
Innovate with AI: Design and implement solutions leveraging foundational LLM models (AWS Bedrock) to resolve customer queries effectively.
Integrate & Orchestrate: Lead and manage the technical integration with third-party AI Agent vendors ensuring seamless and robust connectivity.
Scale & Optimize: Continuously improve the performance reliability and scalability of our automation platform to handle growing volumes and complexity.
Collaborate for Impact: Work closely with content designers to implement and refine automated conversational flows ensuring a high-quality user experience.
Mentor: Provide technical guidance and mentorship to other engineers fostering a culture of engineering excellence and continuous learning.
Qualifications :
What You Need
We are fully aware that it is uncommon for a candidate to have all skills required and we fully support everyone in learning new skills with us. If you possess many of the skills listed below and are eager to learn and grow we strongly encourage you to apply!
AI Engineering Experience: Significant experience in applying AI/ML concepts particularly LLMs to solve real-world problems in production environments. (The Rise of the AI Engineer)
Pragmatic & Impact-Oriented: You recognize that achieving significant customer impact sometimes requires dedicated effort on foundational or less technically novel tasks and you approach all work with the same commitment to quality and solving the underlying customer problem.
Deep experience in designing building and maintaining microservices. Strong proficiency in Java is essential particularly in an event-driven architecture (e.g. Kafka).
Solid experience with both relational and non-relational databases including query optimization and schema design.
Proven ability in designing deploying and maintaining clean well-documented RESTful APIs.
Excellent communication and interpersonal skills with a talent for collaborating effectively with diverse teams and bringing people together to solve challenging problems.
A firm believer in and practitioner of best coding practices including thorough code reviews automated testing and a culture of open feedback.
Experience building and fine-tuning production-grade RAG (Retrieval Augmented Generation) systems.
Experience with designing and implementing evaluation frameworks (evals) for LLM-based solutions.
Hands-on experience with AWS Bedrock and its enterprise features for deploying and managing LLMs.
Familiarity with Agentic workflows AI Agent solutions and multi-agent systems.
Prior experience in automating customer support and servicing operations
Additional Information :
About the Team & Mission
The Contact Automation team is at the forefront of enhancing Wises scalability and customer experience. We are building the Wise Assistant an intelligent system designed to automate and streamline customer support interactions. Our team develops and owns critical components including our intent detection system contact processing pipelines and the orchestration logic that routes customer queries to diverse automation solutions ranging from dynamic templates and RAG-powered knowledge retrieval to advanced AI agents. By doing so we directly contribute to Wises mission by providing faster more efficient support to millions of customers globally.
Additional Information
Interested Find out more:
For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were proud to have a truly international team and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what its like to work at Wise visit .
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Full-time
Full-time